Skip to content
In active development · Coming soon

Liatir

Bioinformatics on your machine.
Under your control.

A desktop app that runs bioinformatics tools, AI, and pipelines locally.
Your data never leaves your machine — Rust-powered native speed, even on multi-gigabyte files.

No cloud or server
Endlessly Extensible
100% Free Forever

Stay in the loop

Liatir is under active development. Subscribe to know when it launches:

No spam, unsubscribe anytime.

Private by design

Stay on your machine. You can work without API calls, servers, cloud, nor telemetry — Liatir runs the same on an air-gapped workstation with no access to the web as on a connected laptop.

Native performance

Every file read, process spawn, and parse runs in Rust through Tauri. Open a 40 GB BAM, stream gzipped FASTQ, or scan a dense VCF without freezing the UI or exhausting memory.

Endlessly extensible

Package anything as a .lia plugin — Node or WASM — and it becomes a first-class analysis step. If you can build it in Node or WASM, you can plug it into Liatir.

Everything in one place

From raw reads to annotated results — without leaving your desktop.

Powerful tools

AI Models, FastQC, fastp, seqkit, samtools, bcftools, BWA-MEM, minimap2, SnpEff and more, ready to run — no setup, no containers.

Visual pipelines

Connect tools, AI Models, custom plugins and more with a modern visual pipeline builder. No-code required, unless you want it.

Local AI models & tools

Install runtimes only when needed, then run single-cell annotation, sequence embeddings, structure prediction and variant scoring on your own hardware.

Unified data layer

Import a file once and use it everywhere. Liatir tracks every file by path, shows type-aware previews, and notices when one moves or disappears.

API connectors

If needed, you can wire external services into your workflows and drop them into pipelines as ordinary nodes — configured visually, not hand-coded.

Built-in viewers

Inspect genome tracks, protein and molecular structures, and single-cell data inline, right next to the step that produced them.